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Home»Research»Trinity and Tekenable partner on AI research
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Trinity and Tekenable partner on AI research

By November 25, 2024No Comments2 Mins Read
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The partnership will explore the use of AI in business operations.

Dublin-based digital services company Tekenable has announced a new artificial intelligence (AI) research partnership with Trinity College Dublin, with the aim of developing responsible AI to benefit both businesses and people.

The partnership, supported by Enterprise Ireland, will see Tekenable’s Jane Slevin work with a team of six researchers to explore how to deploy and leverage AI in businesses with practical AI solutions.

The team will explore how AI solutions have the potential to change the way businesses operate, including areas such as internal processes, financial management, and customer interactions.

Founded in 2002, Tekenable recently announced the creation of 20 new jobs over the next four years to support new specialist systems for aviation leasing customers. The company currently employs more than 240 people.

Tekenable group CEO Nick Connors said the company was looking forward to working with Trinity and aimed to “leverage the university’s renowned academic expertise”.

“Partnering with Trinity will further strengthen our knowledge and capabilities.”

Professor Anthony Ventrescu, Director of the Complex Software Laboratory at Trinity University’s School of Computer Science and Statistics, said the partnership aims to “apply academic insights to real-world challenges and create powerful synergies between theory and practice.” “It’s about creating something.”

“We are excited to assess the measurable impact of AI-powered tools on business.”

Earlier this month, Trinity announced that the university’s researchers will be joining its software business CKDelta and ADAPT Center (Tygde Alien – Research Ireland) to leverage AI to tackle efficiency and sustainability challenges facing the utilities sector. announced a four-year partnership with

The collaboration aims to enable predictive maintenance, a data-driven approach that uses AI to monitor assets and predict when they need service or replacement.

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